Related Experiment Video
Updated: Jun 29, 2026
07:08
Modified Drop Tower Impact Tests for American Football Helmets
Published on: February 19, 2017
The NFL combine: does it predict performance in the National Football League?
Frank E Kuzmits1, Arthur J Adams
1Department of Management, College of Business, University of Louisville, Louisville, Kentucky, USA. kuzmits@louisville.edu
Journal of Strength and Conditioning Research
|October 9, 2008
Summary
The National Football League (NFL) combine tests show little correlation with player success, except for sprint tests predicting running back performance. Researchers suggest re-evaluating the combine
Area of Science:
- Sports Science
- Performance Analytics
- Football Player Evaluation
Background:
- The National Football League (NFL) combine is a critical assessment for college football players entering the professional league.
- It includes various physical tests, drills, and aptitude assessments to predict NFL performance.
- Previous research has not conclusively established the predictive validity of combine metrics across all positions.
Purpose of the Study:
- To investigate the correlation between NFL combine test results and professional success for quarterbacks, running backs, and wide receivers.
- To assess the overall usefulness of the NFL combine in predicting player performance.
- To propose improvements for a more accurate prediction system for NFL player success.
Main Methods:
- Correlation analysis was used to examine relationships between combine metrics and NFL performance data.
- Data included combine results (e.g., sprints, jumps, Wonderlic test) and performance criteria (draft order, salary, games played) for players drafted between 1999-2004.
- Statistical relationships were analyzed for offensive positions: quarterback, running back, and wide receiver.
Main Results:
- No consistent statistical relationship was found between most NFL combine tests and professional football performance across the studied positions.
- Sprint tests demonstrated a notable exception, showing a correlation with performance specifically for running backs.
- The general lack of strong predictive relationships questions the current utility of many combine assessments.
Conclusions:
- The NFL combine's physical tests and exercises may not be reliable predictors of player success.
- Suggestions for improvement include incorporating more rigorous psychological assessments and using collegiate performance as a job sample.
- NFL teams should re-evaluate the combine process to develop a more valid system for predicting player performance and success.
Related Concept Videos
01:13Sensitivity, Specificity, and Predicted Value
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Sensitivity is the...
01:04Social Facilitation
Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
01:20Drug Product Performance: In Vitro–In Vivo Correlation
In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while adhering...
01:29Measures of Intelligence
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this; it...
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this; it...
01:21The Bell Curve
The normal probability distribution, often depicted as a symmetrical, bell-shaped curve, is fundamental in statistics and the study of natural phenomena. This pattern, famously described by mathematician Carl Friedrich Gauss, shows how data points are distributed around a central mean, with most values near the average and fewer observations occurring as they deviate further from it.
This pattern applies to many human characteristics beyond intelligence, such as height. For example, if you...
This pattern applies to many human characteristics beyond intelligence, such as height. For example, if you...
01:20Spearman's Rank Correlation Test
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
Spearman's test calculates correlation by...